About the role
from listingWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the CONSUMER & COMMUNITY BANKING, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Job responsibilities
Deliver end-to-end features across React (TypeScript) UI and Java/Spring Boot services, from design through production support readiness.
Lead technical design for moderately complex initiatives (API/service boundaries, data models, integration patterns) and document key decisions.
Build and maintain automated testing (unit/integration/contract and UI tests as applicable) and drive defect prevention.
Build and improve CI/CD pipelines (build/test/scan/deploy, quality gates, environment promotion/rollback) to improve release reliability.
Use JP Morgan Chase-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate refactoring, change delivery, test generation, and documentation with rigorous human validation.
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Strong hands-on experience with Java and Spring Boot , REST API design, and distributed systems fundamentals.
Hands-on experience with React + TypeScript and integrating UI with backend APIs.
Working experience with AWS and cloud-native fundamentals (security/IAM concepts, monitoring/operations basics).
Proven experience implementing CI/CD with automated tests and quality gates (e.g., Jenkins/GitHub Actions/GitLab CI).
Strong troubleshooting skills across UI/service layers and disciplined use of AI coding assistants (Claude AI or equivalent where approved) with verification.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Experience with containers and orchestration ( Docker , ECS/EKS/Kubernetes ) and deployment automation.
Experience with event-driven systems (Kafka and/or AWS messaging such as SQS/SNS) and asynchronous processing patterns.
Experience with security best practices (OWASP awareness, dependency governance, secrets management, authN/authZ patterns).
Experience defining/operating reliability practices (SLOs/alerting, incident learning, resiliency patterns like retries/circuit breakers).
Track record improving developer productivity (reusable libraries, pipeline templates, mentoring/technical leadership within a squad)